Riyad Ismail

Ecology · 2013–2015

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Riyad Ismail trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ron Kohavi
  2. Jerome H. Friedman
  3. Mahesh Pal
  4. Trevor J. Hastie
  5. Robert E. Schapire
  6. Moses Azong Cho
  7. Isabelle M Guyon
  8. Leo Breiman
  9. Yoav Freund

Who trusts Riyad Ismail overall

  1. Edwin Raczko

Papers from Riyad Ismail's perspective

Ordered by how strongly the researchers Riyad Ismail trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. Stochastic gradient boosting
  3. A decision-theoretic generalization of on-line learning and an application to boosting
  4. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  5. An Introduction to Variable and Feature Selection
  6. Random forest classifier for remote sensing classification
  7. Random Forests for land cover classification (Pattern Recognition Letters)
  8. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
  9. Wrappers for Feature Subset Selection
  10. Multiple additive regression trees with application in epidemiology (Statistics in Medicine)

Their papers